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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    descriptions of how individuals are dressed

    oai_token-act-pair · gpt-3.5-turbo

    references to how individuals are dressed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venants
    -0.68
    ffic
    -0.63
    agents
    -0.63
    edia
    -0.61
    found
    -0.61
    upon
    -0.61
    article
    -0.60
    reme
    -0.59
    mental
    -0.59
     depress
    -0.59
    POSITIVE LOGITS
     dressed
    0.87
     dresses
    0.86
     attire
    0.86
    iage
    0.85
     apparel
    0.84
     rehearsal
    0.82
     uniforms
    0.82
    glers
    0.80
     gown
    0.78
     rehears
    0.77
    Activations Density 0.011%

    No Known Activations